Establishing RAI Governance and Data Ethics

This course is best for professionals who need to understand how to deploy AI in a way that maximizes positive impact, mitigates risks, and addresses the latest regulations. The course takes a strategic (rather than engineering) perspective, situating AI development in its organizational context and empowering learners to envision and implement Responsible AI (RAI) in their own workplace. By the end of the course, learners will understand what RAI means and have conceptual fluency to continue learning about the topic and follow this continually evolving field. In addition, learners will have the option to outline or even draft their own RAI blueprint for their organization.

Key skills covered in this course: 

• Responsible AI governance, from planning and data collection to deployment
• AI ethics and critical thinking about technology
• Regulatory compliance and AI

Upon successful completion of the course, learner outcomes include: 

• Understand recent applications of AI, including their inherent risks and capabilities
• Describe popular frameworks for RAI and example regulations
• Explain RAI considerations at each stage of the product life cycle, from ethical data practices to model deployment 
• Identify major strategies for shaping an emerging technology, at an organizational and societal level 
• Describe major RAI tools, technical metrics, and dashboards
• Draft an RAI blueprint for your organization

Potential learners:

• AI Governance Specialists
• Analytics/Data Science Leaders
• Compliance Officers
• Data Ethics Consultants
• Data Governance Specialists
• Executive Leadership